Optical Data Mapping Across Polarizations for High-Rate Links
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Solution Overview
Problem
Current optical communication systems face challenges in supporting high transmission rates (e.g., 1.2 Tbps and 1.6 Tbps) with low power consumption, as existing devices cannot handle baud rates exceeding 140 Gbaud, limiting their applicability to metro telecommunication and data center scenarios.
Innovation Solution
A data processing method that involves FEC encoding and symbol mapping across multiple polarization directions, distributing bits evenly across different wavelengths and polarization directions, and performing parallel transmission to improve transmission rates without requiring higher baud rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If higher baud rate is used to achieve higher transmission rate, then transmission rate is improved, but power consumption increases and device availability is limited
Solution Approach 1:
The patent segments the high-rate data stream into multiple lower-rate parallel streams. Specifically, it divides the input data into multiple lanes, applies FEC encoding separately to each lane, and transmits them in parallel at lower baud rates. This allows achieving high aggregate transmission rate while each individual transmission path operates at lower, more power-efficient baud rates that existing devices can handle.
Solution Approach 2:
The patent introduces parallelism as an additional dimension for data transmission. Instead of increasing the baud rate of a single channel, it creates multiple parallel channels (dimensions), each operating at lower baud rates. The total transmission rate is achieved by aggregating the throughput across these multiple parallel dimensions, effectively trading temporal density for spatial parallelism.
2Productivity
If higher baud rate is used to achieve higher transmission rate, then transmission rate is improved, but device complexity and availability worsen
Solution Approach 1:
The patent segments the high-rate data stream into multiple lower-rate parallel streams. Specifically, it divides the input data into multiple lanes, applies FEC encoding separately to each lane, and transmits them in parallel at lower baud rates. This allows achieving high aggregate transmission rate while each individual transmission path operates at lower, more power-efficient baud rates that existing devices can handle.
Solution Approach 2:
The patent enables existing devices with limited baud rate capabilities to support higher transmission rates by implementing a parallelization layer. The system becomes universal by accommodating devices that cannot natively handle high baud rates, allowing them to participate in high-rate transmission networks through multiple parallel lower-rate connections, thus extending the applicability of current device technology.
3Use of energy by moving object
If higher-order modulation is used to reduce baud rate, then power consumption is reduced, but transmission distance is limited
Solution Approach 1:
The patent segments the high-rate data stream into multiple lower-rate parallel streams. Specifically, it divides the input data into multiple lanes, applies FEC encoding separately to each lane, and transmits them in parallel at lower baud rates. This allows achieving high aggregate transmission rate while each individual transmission path operates at lower, more power-efficient baud rates that existing devices can handle.
Data Source
AI summary
This application discloses a data processing method. The method includes: performing forward error correction FEC encoding processing on at least one to-be-sent bit data stream, to obtain M first encoded data streams, where M is an integer greater than 1; and performing first data processing on the M first encoded data streams, to obtain W first dual-polarization symbol data streams, where W is an integer greater than 1; each of the W first dual-polarization symbol data streams is located in two orthogonal polarization directions; the first data processing includes symbol mapping processing; in one polarization direction, P consecutive symbols in the first dual-polarization symbol data stream are obtained by performing symbol mapping processing on q×P bits, and the q×P bits are from at least two of the M first encoded data streams, where P is an integer greater than 1, and q is a positive integer.